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Keenious Search Tool: Keenious in a web browser

Creating an account and login to Keenious

Keenious works without a separate login, but it is recommended to create an account for oneself, as one can save bookmarks there and export them to reference manager programs, such as Zotero. We can also give better support if you have an account. 

Login to Keenious takes place as follows: 

  • Go to https://keenious.com/auth/sign-up?institution=UNIARTSHelsinki (works in any network)
  • Fill the form. Use University of the Arts Helsinki email-address to register and invent a strong password. Accept the use terms of Keenious.
  • You will get a confirmation of your login to you email. If you can't see it in reasonable time, check also your junk mail folder.

Using Keenious in a web browser

Go to Keenious at http://ezproxy.uniarts.fi/login?url=https://keenious.com/ and log in, if you have registered in Keenious (see the box above).

Upload or drag and drop a pdf-file (note that the file should not be a photo of the text, but the text itself). The artificial intelligence of Keenious starts to analyze the text and soon gives you results to the right margin of the screen.Alternatively, you can add a link to a pdf (URL ending with .pdf) or paste text to the Keenious (Text). Note that you can also choose/highlight a part of the text to be analyzed (see more from Keenious Guide). 

Screenshot of menu in Keenious in browser.

Search example from Keenious.

The search results appear in the right margin of the text in relevance order. If the article or other research text is open access, a pdf-symbol can be found next to the search result.Screen shot of pdf-buttonThe search result includes a link to the open article. 

Keenious journal article example.

If the article found is not open, it may be available throught University of the Arts Helsinki library catalogue Arsca. Before you start working with Keenious it is useful to login into Arsca - if the article is not open, it can be available (depending on Uniarts Helsinki licenses) by clicking a button "Check Uniarts Access". Arsca view is opened and the article may be available for download or for loan from the library.

From the search result you can also find subject topics from where you can continue the search (see the box on the right). Finally, you can see a list of similar articles to the one you searched with. 

 

Bookmarks, citation and exporting search results to the reference management software

When you find a useful article on Keenious, you can use it in different ways. First, create your own account (see above). When you find a search result you like, you can add the information about it directly to a word processor, export it to a reference manager or bookmark it.

Making citations

Click on the "-" sign in the top right-hand corner of the article. You can choose a citation style from a wide range of options. You can either copy the citation or download it as text file to your desktop, from where you can move it to the bibliography of the article, for example. If you want to import the citation to your reference management software such as Zotero, open the article in the journal page and import it from there (see f.ex. how to use Zotero Connector to save references).
Cite Publication.

Bookmarks

You can also bookmark your favourite search results in your own account and return to them later. This is done as follows. Click on the star in the top right-hand corner of the article. It will turn yellow, indicating that the article has been added to your bookmarks.

how to make bookmarks.

You can view your bookmarks in the basic search (on the right-hand side). At the top is the "My bookmarks" section, which you can click on to view your bookmarks.

Filters in advanced search

Keenious allows you to filter the results in many different ways. Note that you can select not only the whole text, but also only part of the text to be searched. First upload a pdf, link or text to Keenious and let it analyse it. Then click on the button to access the following filters.. Press thenScreen shot of Filters-button.button and get the following filters.

 How to use filters in Keenious.

  • Temporal filter. You can choose the years in which the articles you want to search for were published. For example, if you want to search for recent articles, select those published in the last couple of years. See the Keenius Help for more information.
  • Citation filter. If you want to find the most used and highly regarded articles in your field and their authors, select Citation count and add the number of citations, for example articles cited five or fifty times, depending on the discipline. For more information, see the Keenius Help.
  • You can also filter results by adding keywords
  • Also note that you can select only part of the text to be analysed (see more on Keenious Help).

Filtering by topic

Keenious does not just return results based on search terms, but through text analysis by artificial intelligence. This is particularly evident in the subject search. The search results include suggestions for topics that are relevant to the text in question, which may or may not be mentioned in the text itself. This is very useful if, for example, you are just getting to know a new discipline. You can find the suggested topics in the search results in the section next to the articles.

To learn more about a specific topic, click on the topic. Keenious will give a short presentation on the topic.

Topic in Keenious.

Filtering by topic

Search results can also be refined by adding or removing a topic. Click on the bottom right triangle next to the topic (image above). You can choose to add it to the search criteria ("Add to include list") or exclude it from the search ("Add to exclude list"). You can do the same for multiple topics.

Once these have been added or removed from the search, the search results will be more accurate. You can also do the same for part of the text - paint the desired part and let Keenious do the search.If you want to remove a topic from the search, click on the checkbox in front of it.


Filters in Keenious.
 

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